Soft Computing in Economics and Business
Soft Computing in Economics and Business is becoming very popular in the literature because it offers practical techniques to deal with the complex information of our world. Soft Computing includes a wide range of methods and techniques including fuzzy sets and systems, neural networks, evolutionary algorithms, probabilistic reasoning and other related tools. This special issue aims to present some of the newest advancements in this direction including contributions in economics, finance and management.
- A Comparative Study of Population Based Algorithms for a Political Districting Problem,A Fuzzy Methodology for Innovation Management Measurement,A Fuzzy Model for the Valuation of Quality Management System,A Study of the Strong Allee Effect with Fuzzy Parameters for its Application in Economics,An assessment of OECD sustainable portfolios with a multi-criteria approach under uncertainty,Are European sovereign bond spreads in concordance with macroeconomic variables evolution?,Emergency care usage and longevity have opposite effects on health insurance rates,Expertons and uncertain averaging operators versus correlational approaches: A case study on Corporate Social Responsibility and effectiveness,Guest Editorial: Soft Computing in Economics and Business,SIMPLIFYING CREDIT SCORING RULES USING LVQ+PSO,The basis for establishing one or more Europes,The OWA distance operator and its application in business failure,Using a cycle reverting price process in modeling metal mining project profitability,Using generic algorithms to evolve type-2 fuzzy logic systems for predicting bankruptcy